Upload myinfer_latest.py

myinfer_latest.py

@@ -145,7 +145,7 @@ def api_convert_voice():
     inst = f"output/{split_model}/{spk_id}_input_audio_{unique_id}/no_vocals.wav"
     
     output_path = convert_voice(spk_id, vocal_path, voice_transform)
-    output_path1= combine_vocal_and_inst(output_path,inst)
+    output_path1= combine_vocal_and_inst(output_path,inst,unique_id)
     
     processed_audio_storage[unique_id] = output_path1
     session['processed_audio_id'] = unique_id 
@@ -218,13 +218,13 @@ def cut_vocal_and_inst(audio_path,spk_id):
     #logs.append("Audio splitting complete.")
 
 
-def combine_vocal_and_inst(vocal_path, inst_path):
+def combine_vocal_and_inst(vocal_path, inst_path, output_path):
     
     vocal_volume=1
     inst_volume=1
     os.makedirs("output/result", exist_ok=True)
     # Assuming vocal_path and inst_path are now directly passed as arguments
-    output_path = "output/result/combine.mp3"
+    output_path = f"output/result/{output_path}.mp3"
     #command = f'ffmpeg -y -i "{inst_path}" -i "{vocal_path}" -filter_complex [0:a]volume={inst_volume}[i];[1:a]volume={vocal_volume}[v];[i][v]amix=inputs=2:duration=longest[a] -map [a] -b:a 320k -c:a libmp3lame "{output_path}"'
     #command=f'ffmpeg -y -i "{inst_path}" -i "{vocal_path}" -filter_complex "amix=inputs=2:duration=longest" -b:a 320k -c:a libmp3lame "{output_path}"'
     # Load the audio files